ADVANCED STATISTICAL THEORY II Syllabus

140.772.01 | AY 2013-2014 - 2nd Term | 4 Credit(s)
TTh 1:30:00 PM
  • Contact Information
    Faculty
    Daniel Scharfstein
  • Course Learning Objectives

    Upon successfully completing this course, students will be able to:

    • Discuss properties of maximum likelihood estimation
    • Discuss properties of estimation under fewer assumptions
    • Discuss further advantages and limitations of using axiomatic inference
  • Course Description
    Examines statistics as a discipline along the path towards making decisions. First examines the justification of statistics from axioms on informed preferences and its close connection to Bayesian theory, and then examines the role of standardizing intermediate steps, through various additional restrictions on estimation, and studies the properties of the resulting methods.
  • Methods of Assessment
    Student evaluation based on one mid-term exam and one project per term.
  • Prerequisites
    140.771
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

    All pertinent course information is available at the course website
     

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